About Infocusp Innovations

Infocusp Innovations Recruitment

Job Role: Machine Learning Engineer

Qualification: Bachelors / Masters Degree

Experience: 0-2 years 

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹8-22 LPA

Job Location: Ahmedabad, Pune

Last Date: ASAP

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About the Role

A Machine Learning Engineer is a candidate with knowledge in designing and deploying machine learning solutions. They possess deep expertise in algorithms, programming languages like Python, and specialized frameworks. This role involves leading complex machine-learning projects, making critical architectural decisions, optimizing models for performance, and collaborating with interdisciplinary teams. Machine Learning Engineers contribute to cutting-edge research, develop innovative solutions, and stay at the forefront of the field to deliver impactful and state-of-the-art machine learning applications.

Responsibilities

• Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
• Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
• Stay up-to-date with the latest advancements and trends in machine learning, deep learning, and related fields.
• Collaboratively design and implement machine learning systems and infrastructure, leveraging your experience to make informed decisions and drive successful outcomes.

Requirements

• B.E.\B. Tech\M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image, and signal processing, or statistics preferred.
• Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 2+ years of professional work experience working on real-world data.
• Strong programming background, and knowledge of software engineering concepts (OOP, design patterns).
• Knowledge of machine learning libraries Tensorflow, Jax, Keras, Scikit-learn, PyTorch.
• Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra.
• Ability to perform both independent and collaborative research.
• Excellent written and spoken communication skills.